Traffic_Control_Benchmark

Benchmark for traffic control algorithms

Datasets

• Synthetic traffic networks

intersection channelization	1x1grid
3x3grid	5x5grid

• Real traffic networks

Luxembourg	Monaco
TAPASCologne	Malaga
Hefei

Traffic Control Methods

Controllers	Introduction
Webster's method	Webster’s method of traffic signal design is an analytical approach of determining the optimum signal cycle time, corresponding to minimum total delay to all the vehicles at the approach roads of the intersection.
Actuated traffic control	An actuated traffic signal controller determines the timing and even the sequence of traffic movement for each phase and cycle, based on what vehicles or pedestrians are detected at the intersection.

Controllers comparison

Networks	Comparasion results
1x1grid
5x5grid
Luxembourg
Monaco
TAPASCologne
Malaga

Quick Start

###Build the sumofile of grid traffic networks

python3 gen_net_demand.py 

Build the sumofile of real traffic scenarios

python3 utils/build_nets --netname [netname1] [netname1]

For example, to build Luxembourg and Monaco sumofiles for experiments:

python3 utils/build_nets --netname Luxembourg Monaco

Implement baseline methods in SUMO

• To implement Webster's method in SUMO:

  python baseline_result.py --sumo_cfg [sumocfg_dir] webster

• To implement actuated traffic controller method in SUMO:

  python baseline_result.py --sumo_cfg [sumocfg_dir] actuated --minDur [minDur] --maxDur [maxDur]

Compare different control methods

python result_plot.py --method_1 [name_of_method_1] --tripinfo_dir_1 [tripinfo_dir_1] --method_2 [name_of_method_2] --tripinfo_dir_2 [tripinfo_dir_2]

References

Datasets

• Sumo Data/Scenarios
• Daniel H. Stolfi and Enrique Alba. Generating Realistic Urban Traffic Flows with Evolutionary Techniques. In: Engineering Applications of Artificial Intelligence, vol. 75, pp. 36-47, 2018. [Project]

Control Methods

• Webster

• Actuated controller

License

This work is released under the MIT license.